Abstract: Systems and methods of use to facilitate classification of cytological specimens are discussed. The system acquires or imports image data of a cytological specimen. The imported image data may include, or the system may otherwise perform an image analysis to identify one or more objects of interest in a respective specimen image dataset, including feature attributes for the identified objects. The system analyzes the feature attributes by predetermined criteria and/or optionally with user inputted criteria. The system includes an analysis tool that assists the user in identifying cytologically abnormal objects, if present in a particular specimen, by manipulating and viewing images of objects selected as a function of feature attributes. More generally, the analysis tool aides the user to find, extract, and display abnormal objects from within a large dataset of images and facilitates navigation through large amounts of image data and enables the efficient classification of the entire specimen.

Abstract: A method of authenticating a candidate fingerprint by means of an electronic device comprising a touch sensor; and a fingerprint sensor. The method comprises the steps of: acquiring at least one touch sensor signal indicative of a sub-area of the touch sensor being touched by the candidate finger; acquiring at least one fingerprint image of the candidate fingerprint; retrieving a stored enrollment representation of the enrolled fingerprint of the enrolled finger; determining an authentication representation of the candidate fingerprint based on the fingerprint image; and determining an authentication result based on the authentication representation, the stored enrollment representation, and the at least one touch sensor signal.

Abstract: A pair of images is obtained having pixel intensities substantially proportional to wave height for a majority of pixels. The images are aligned, orthorectified, and adjusted for relative reflectance in their respective spectral bands. The images are Fourier transformed, and then one image is propagated to the time of the other image. A deglinted image is calculated by taking the difference in wavenumber space, then inverse Fourier transforming. Alternatively, an equivalent formula can be obtained using convolutions. The propagation uses a gravity wave propagation function, which, in general, can be a function of depth, surface current, and wave direction which can be obtained from external data, assumed constant, or calculated from wave images depending on the particular circumstances.

Abstract: A system for pothole detection comprises an input interface configured to receive sensor data and a pothole detector configured to determine a pothole based at least in part on the sensor data; and store pothole data associated with the pothole, wherein the pothole data comprises a pothole video.

Abstract: A method for defining a region of interest in a radiation image of a breast based on the result of shape analysis applied to a skin line estimate determined in the radiation image.

Abstract: A method of operating an electronic device is provided. The method includes acquiring an image including one or more objects, detecting distances between the one or more objects and the electronic device, determining a display methods to display information related to the one or more objects based on the distances, and displaying the information related to the one or more objects based on the determined display method.

Abstract: A method of aligning at least two breast images includes aligning a relevant image part in each of the images, the relevant image parts being obtained on the basis of the result of a shape analysis procedure performed on the breast images.

Abstract: A method and device for capturing a positionally corrected image of a document is disclosed. The method comprises the steps of: obtaining a two-dimensional image of the document with a mobile terminal apparatus; performing edge detection within the two-dimensional image to identify edges of the document; determining angles between detected edges; calculating, based on the detected edges and the angles determined, a three-dimensional position of the document relative to a position of the mobile terminal apparatus; calculating correction information to correct, by relative movement, the position of the document relative to the position of the mobile terminal apparatus; providing first guidance information derived from the correction information to a user of the mobile terminal apparatus, guiding the user to perform the relative movement; and capturing a positionally corrected image of the document. Thereby, the document can be captured with a quality sufficient to permit Optical Character Recognition (OCR).

Abstract: A method for tracking weather cells from a moving platform includes receiving, from a detection and ranging system, reflectivity data sampled for a volume of space and generating a feature map based on the reflectivity data, wherein the feature map is a representation of the volume of space that indicates locations with significant weather and generating a first segmented feature map based on the feature map that identifies the location and spatial extent of individual weather cells. The method further includes translating the first segmented feature map and a second segmented feature map, generated from data collected at a different point in time and/or space, to a common frame of reference and comparing the first segmented feature map to the second segmented feature map. The method further includes creating one or more track hypotheses based on the comparison of the first segmented feature map and the second segmented feature map.

Abstract: A method of automatically detecting tissue abnormalities in images of a region of interest of a subject includes obtaining first image data for the region of interest of the subject, normalizing the first image data based on statistical parameters derived from at least a portion of the first image data to provide first normalized image data, obtaining second image data for the region of interest of the subject, normalizing the second image data based on statistical parameters derived from at least a portion of the second image data to provide second normalized image data, processing the first and second normalized image data to provide resultant image data, and generating a probability map for the region of interest based on the resultant image data and a predefined statistical model. The probability map indicates the probability of at least a portion of an abnormality being present at locations within the region of interest.

Abstract: A method of authenticating a candidate fingerprint by means of an electronic device comprising a touch sensor; and a fingerprint sensor. The method comprises the steps of: acquiring at least one touch sensor signal indicative of a sub-area of the touch sensor being touched by the candidate finger; acquiring at least one fingerprint image of the candidate fingerprint; retrieving a stored enrollment representation of the enrolled fingerprint of the enrolled finger; determining an authentication representation of the candidate fingerprint based on the fingerprint image; and determining an authentication result based on the authentication representation, the stored enrollment representation, and the at least one touch sensor signal.

Abstract: Methods and systems for enrolling biometric data that is easier to use and provides a more positive end user experience. Additionally, machine readable medium storing instructions configurable to achieve the results when executed by a computing device are also provided.

Abstract: An apparatus and a computer-implemented method of acquiring a fingerprint image from a fingerprint sensor with an array of sensor elements spanning a sensing area, comprising: monitoring groups of sensor elements located at group-wise spaced apart positions in the array of sensor elements, to determine a touch event occurring on the array of sensor elements; from the array of sensor elements, acquiring, at respective points in time, fingerprint sub-images which are confined in size to a subarea of the sensing area; as the fingerprint sub-images are acquired, computing values of a statistical indicator for the fingerprint sub-images; and acquiring a full fingerprint image when a predefined criterion indicates that the values of the statistical indicator has reached or is about to reach a stable state.

Abstract: A method of computing the risk profile of a neoplastic tissue in a patient is disclosed. The method includes the steps of (a) processing a sample of tumor tissue or cancer cells from the patient in a form suitable for visualization and demarcation of cell nuclei, individually distinguishable centrosomes (iCTRs) and megacentrosomes (mCTRs) in a region of interest (ROI) defined by a plurality of cell nuclei; (b) determining the numbers of iCTRs and mCTRs associated with each cell nucleus in the ROI; (c) determining the volume of each iCTR and mCTR in the ROI; and (d) calculating one or more centrosome amplification scores (CASs) values for the sample based on steps (b) and (c), wherein the one or more CASs indicate the severity of centrosome amplification, the frequency of centrosome amplification, or both, and wherein the one or more scores provide a measure of a level of risk and/or a prognosis associated with the neoplastic tissue.

Abstract: Systems and methods for measuring image recognition accuracy are provided. One embodiment of a method includes locating an identifier in an environment, where the identifier is configured according to a predetermined format and where the identifier identifies an actual characteristic of an object. Some embodiments of the method include locating the object in the environment, determining a perceived characteristic of the object, and determining, from the identifier, the actual characteristic of the object. Similarly, some embodiments include comparing the actual characteristic of the object with the perceived characteristic of the object, determining whether the actual characteristic of the object substantially matches the perceived characteristic of the object and, in response to determining that the actual characteristic of the object does not substantially match the perceived characteristic of the object, determining a change to make for improving image recognition.

Abstract: A method of measuring a parameter of a structure (212) on a medical image (200) comprises a measurement tool (220) displayed on a slice of the image. An automated point detection function identifies a point within at least one region (250) of the image that optimizes the placement of the respective end of the measurement tool (220). The region may be 2-d or 3-d. The identified point(s) are then used to calculate the parameter, which may be distance, angle, area or volume. The measurement tool (320) may move to the identified points (330, 340). A system (2000), computer program and computer-readable medium are also provided. The invention may make the measurement of tumors, and measurements of the spacing within or between various structures on a medical image, more accurate and/or more consistent.

Abstract: Methods for updating a 2D/3D registration between a three-dimensional image data set corresponding to a target area subjected to a movement and a plurality of two-dimensional projection images of the target area include: selecting a plurality of contour points along a contour, the contour being visible in a first projection image and a three-dimensional image data set registered therewith, the plurality of contour points being associated with a rigid object in the target area; determining a displacement of each contour point of the plurality of contour points between the first projection image and a successively captured second projection image; obtaining movement information for each contour point of the plurality of contour points based on the determined displacement, the movement information describing a movement of the rigid object; and updating the registration based on the obtained movement information.

Abstract: A medical imaging system (5) includes a workstation (20), a coarse segmenter (30), a fine segmenter (32), and an enclosed tissue identification module (34). The workstation (20) includes at least one input device (22) for receiving a selected location as a seed in a first contrasted tissue type and a display device (26) which displays a diagnostic image delineating a first segmented region of a first tissue type and a second segmented region of a second contrasted tissue type and identified regions which include regions fully enclosed by the first segmented region as a third tissue type. The coarse segmenter (30) grows a coarse segmented region of coarse voxels for each contrasted tissue type from the seed location based on a first growing algorithm and a growing fraction for each contrasted tissue type.

Abstract: A medical imaging system (5) includes a data store (12), a clustering module (22), and a display device (32). The data store (12) includes a first imaging data set and a second imaging data set, each data set created with the same imaging device (10) and the same measured value. The measured value of a first and a second tissue type overlap in the first imaging data set. The measured value of the second and a third tissue type overlap in the second data set. The data sets are co-registered, and an external event changes the measured value of the second data set. The clustering module (22) classifies the tissue type based on a fuzzy clustering of the measured value of the first data set and the measured value of the second data set for each location. The display device (32) displays a medical image which contrasts each classified tissue type.

Abstract: A person recognition apparatus is disclosed that includes an image input unit, a face detection unit in which a face is expressed from the inputted image data, as a score which takes a value in accordance with facial likeness, a facial feature point detection unit, a feature extraction unit, a feature data administrative unit, a person identification unit to calculate similarity between the amount calculated by the feature extraction unit and the amount stored in the feature data administrative unit, a number of candidates calculation unit which displays the images stored in descending order of the similarity, and calculates a score from the face detection unit and the facial feature point detection unit, a candidate confirmation unit in which images displayed in descending order of the similarity are subjected to visual inspection.